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3 results about "Positron Emission Tomography Scan" patented technology
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Positron emission tomography (PET) is a non-invasive nuclear imaging technique which uses radioactive tracers. PET scans specifically look at the metabolism of a particular organ or tissue, and uses a tracer dependent on which organ or tissues are the focus of the scan. PET scans are able to detect biochemical changes in an organ or tissue.
Machine learning-enabled analysis of computed tomography and positron emission tomography scans for origin cell prediction.
The method may include receiving a positron emission tomography (PET) scan depicting multiple cancer cells. One or more lesions depicted in the PET scan may be identified. An origin cell classification model may be applied to determine the origin cells of each lesion depicted in the PET scan. A molecular subtype profile of multiple cancer cells depicted in the PET scan may be determined based on the origin cells of at least the individual lesions depicted in the PET scan. The molecular subtype profile may include the overall origin cells of the multiple cancer cells and / or the proportion of lesions having each possible origin cell. Related systems and computer program products are also provided.
Owner:GENENTECH INC
Radiolabelled MGL PET ligands
The present invention relates to novel, selective, radiolabelled compound having monoacylglycerol lipase (MGL) affinity which are useful for imaging and quantifying MGL receptor expression, distribution and enzyme occupancy in tissues, using positron-emission tomography (PET). The invention is also directed to compositions comprising such compounds, the use of such compounds and compositions for imaging a tissue, cells or a host, in vitro or in vivo and to precursors of said compounds.
Owner:JANSSEN PHARMA NV
Machine learning enabled region-specific lesion segmentation
A method may include determining, within a first positron emission tomography and computed tomography (PET-CT) scan depicting a plurality of regions of a body, a first region including a lesion. A first portion of the first PET-CT scan depicting the first region but not a second region of the plurality of regions may be extracted to generate a second PET-CT scan having one or more initial dimensions. The one or more initial dimensions of the second PET-CT scan may be adjusted to one or more target dimensions by at least adding, to the second PET-CT scan, one or more voxels, and determining a value of each of the one or more voxels added to the second PET-CT scan. A segmentation model may be trained based on a training dataset that includes the second PET-CT scan adjusted to the one or more target dimensions.
Owner:GENENTECH INC